Ferreira, Ana SousaMarques, AnabelaCardoso, Margarida2015-01-022015-01-022011-04http://hdl.handle.net/10400.26/7400Resumo da comunicação oral apresentada em XVIII Jornadas de Classificação e Análise de Dados (JOCLAD2011), Vila Real, de 7 a 9 de Abril de 2011In Discrete Discriminant Analysis dimensionality problems often occur. In this context, we propose a combining models approach, taking profit from several potential models. In the bi-class case, a single combination coefficient is considered and estimated using several strategies. In the multi-class case, the decomposition into several bi-class problems embedded in a binary tree is implemented. New developments of this approach are presented and their performances assessed on real or simulated data.engCombining modelsDependence Trees ModelDiscrete Discriminant AnalysisFirst-order Independence ModelFull Multinomial ModelCombining models in supervised classification: New developmentsconference object